An Invariance Algorithm of Synergetic Pattern Recognition
SHAO Jing1,2, GAO Jun1,2, XU XiaoHong1
1.Department of Computer and Information, Hefei University of Technology, Hefei 230009 2.Center for Biomimetic Sensing and Control Research, Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei 230031
Abstract A synergetic invariance algorithm is proposed in this paper. Through the influential dynamic theory of synergetic pattern recognition, the parameters of the affine transform are gotten. The right pattern can be gotten by the dynamic evolvement of the order parameters and the autoadaptive or the nationalization of the prototype to testing patterns. This method avoids the processing of frequency field utilized by the Fourier transform. And it is similar to the recognition of human being. The validity and robustness of the algorithm are demonstrated by the experiments.
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2006, Vol. 19 
